Features Extraction of ECG Signals Using Wavelet Transforms | ||
| The International Conference on Electrical Engineering | ||
| Article 20, Volume 2, 2nd International Conference on Electrical Engineering ICEENG 1999, November 1999, Pages 166-176 PDF (2.1 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/iceeng.1999.62311 | ||
| Authors | ||
| M. E. Gadallah1; S. M. Alian2; Kh. M. Reda3 | ||
| 1Associate professor, Dpt. of Electronic Engineering, Egyptian Armed forces. | ||
| 2Professor, Dpt. of Electronic Engineering, Egyptian Armed forces. | ||
| 3Eng., Egyptian Armed forces. | ||
| Abstract | ||
| This paper introduces a proposed technique for extracting some of the important features of the electrocardiograph (ECG) signals. The proposed technique is based on the principles of the wavelet transforms (WT). In this work, special attention has been given to the arrhythmia diseases. The proposed approach has been tested using real ECG signals collected from some patients using a computer controlled multi channel data acquisition system. The measured features have been compared with the normal cases, which in turn have been compared with the standard features. | ||
| Keywords | ||
| Electrocardiograph (ECG); Wavelet Transforms (WT); Beat per Minute (BPM); Arrhythmia Diseases; Band Pass Filter (BPF); High Pass Filter (HPF); Low Pass Filter (LPF); and MIT/BIH Massachusetts Institute of Technology/Beth Israel Hospital arrhythmia database | ||
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